Computer science and informatics research at Edge Hill is organised around several broad themes promoted and supported by the Data and Complex Systems Centre and the Intelligent Visual Computing Centre. While most of our work falls under the data analytics and computer vision and visualisation themes, other contributions focus on disruptive technologies and infrastructure.
Research in the areas of robotics, visual computing, virtual and augmented reality, are all supported by our state-of-the-art, high-end research facilities. Our close links with local, national and international organisations allow us to address real world challenges. We have a well-established, growing postgraduate and postdoctoral research community supported by internal and external training and personal development opportunities.
All postgraduate researchers are registered in the University’s Graduate Schooland housed in the faculty or department that is most appropriate for the project on which they are working. PGRs working on computer science and informatics projects are normally housed in the Department of Computer Science.
We are seeking to recruit graduates in computer science and related subject areas who are interested in working on projects involving different types of data analytics, computer vision, image processing, secure autonomous and smart systems utilising advanced machine learning and deep learning approaches, and other latest technologies. In addition to the subject-based topics, we are also looking for researchers with interests in projects on use of AI in healthcare, agriculture, automotive and defence industries.
Big data analytics – decentralised/distributed data analytics, classification imbalance, feature design and analysis, industry 4.0 analytics
Data mining – pattern recognition and semantic analysis
Natural language processing – text mining, natural language understanding, social media mining, relation extraction, inference, sentiment analysis, emotion detection.
Generative language models – Large language models, fine-tuning, domain and task adaptation, smart chat bots.
Visual computing and visualisation
3D Computer Vision – camera calibration, reconstruction, structure from motion, registration, integration and modelling, saliency analysis, segmentation, feature extraction and measurement, model retrieval, and visualization
Visual AI – noise removal and image enhancement, image and video analysis, semantic segmentation, object detection and classification, action, activity and behaviour recognition, fine-grained visual classification
Medical Image/Video Analysis – digital pathology, medical imaging, microscopic image analysis and recognition, and early detection and diagnosis of cancer
Robotics, Autonomous and Intelligent Systems – multimodal AI, human-machine/vehicle/robot interaction, wearable computing, social robotics, intelligent autonomous vehicles, real-time traffic analysis, and factory automation
Remote Sensing and Intelligent Surveillance – drone AI, land surveying, land use segmentation and classification, crop monitoring and management, emergency planning and coastal management, building/structures inspections, and greenspace and greenhouse management
Disruptive technologies and infrastructure
Autonomous systems – robotics and systems automation, cloud computing, wireless communications, telecommunications
IoT – enabled smart systems, applied machine/deep learning, intelligent transport, digital healthcare, agriculture and industry 4.0
Security
Malware analysis based on adversarial machine learning
AI-driven Cyber Resilience and Incident Response
GPS spoofing and protection
Generative AI-driven security training and education
Interdisciplinary projects
Medical informatics, medical imaging, health and social care, bio-inspiring computing algorithms for optimised decision-making, plant phenotyping, plant diseases
Additive manufacturing, factory automation, quality assurance, digital preservation, remote tourism, etc.
Machine learning/deep learning methods for dyslexia/autism detection
Data Analytics for the Crowd: modelling collective behaviour
Security and privacy problems in health care management, IoT and biometrics systems and applications
Blockchain based security and privacy enhancing technologies and applications
In the first instance please direct all enquiries about proposed projects on topics related to Computer Science and Informatics to the Graduate School with Professor Ella Pereira, Graduate School Research Degree Coordinator for computer science and informatics.
